Solving assignment problems with chaotic neural network
Xiu Wang · Journal of systems engineering · 2001
Assignment problems are solved by a chaos neural network (CNN) in which a pair of coupled chaos oscillators act as a neuron. Compared with the conventional Hopfield neural networks(HNN), CNN can be expected to have higher ability of searching for globally optimal or near optimal solution to assignment problems. Numerical simulations of assignment problems in a real time distributed system shows that CNN can overcome HNNs main drawbacks that suffer from the local minimum and perform even more efficient searching when to solve assignment problems.